Paik ES, et al. J Gynecol Oncol. 2018 Aug;30:e65. https://doi.org/10.3802/jgo.2019.30.e65

To support the implementation of individualized disease management, we aimed to develop machine learning models predicting platinum sensitivity in patients with high-grade serous ovarian carcinoma (HGSOC). We reviewed the medical records of 1002 eligible patients. Patients’ clinicopathologic characteristics, surgical findings, details of chemotherapy, treatment response, and survival outcomes were collected. Using the stepwise selection method, based on the area under the receiver operating characteristic curve (AUC) values, six variables associated with platinum sensitivity were selected: age, initial serum CA-125 levels, neoadjuvant chemotherapy, pelvic lymph node status, involvement of pelvic tissue other than the uterus and tubes, and involvement of the small bowel and mesentery. Based on these variables, predictive models were constructed using four machine learning algorithms, logistic regression (LR), random forest, support vector machine, and deep neural network; the model performance was evaluated with the five-fold cross-validation method. The LR-based model performed best at identifying platinum-resistant cases with an AUC of 0.741. Adding the FIGO stage and residual tumor size after debulking surgery did not improve model performance. Based on the six-variable LR model, we also developed a web-based nomogram. The presented models may be useful in clinical practice and research.

Objectives: The aim of the study were to identify the risk factors for recurrent vaginal intraepithelial neoplasia (VaIN)1+ and to evaluate the efficacy of laser vaporization in patients who underwent hysterectomy for the treatment of cervical intraepithelial neoplasia (CIN). Methods: Medical records of 374 women who underwent hysterectomy for the treatment of CIN were retrospectively reviewed. Recurrence was defined as VaIN1+ diagnosis by colposcopy-directed biopsy. Results: Among 374 patients, 36 (9.6%) had VaIN1+ during a median follow-up of 32 (0–193) months: 13 (3.5%) had VaIN1, 6 (1.6%) VaIN2, 15 (4.0%) VaIN3, and 2 (0.5%) invasive cancer. Multivariate analysis showed that age of greater than 50 years was the only independent risk factor for VaIN1+ recurrence (odds ratio, 3.359; 95% CI, 1.60–7.07; p = .001). Among the 34 patients with VaIN, 21 (61.8%) were treated with laser vaporization and 11 (32.3%) were observed without treatment. Time to second recurrence was longer in the VaIN treated by laser vaporization group than that in the observation group (mean time to subsequent recurrence, 128.7 [95% CI, 101.4–156.0] vs. 41.8 [15.7–67.9] months; p = .003). Moreover, laser vaporization (hazard ratio, 0.125; 95% CI, 0.03–0.59; p = .009) was the only independent good prognostic factor for the second VaIN1+ recurrence. Conclusions: Patients older than 50 years who underwent hysterectomy for the treatment of CIN might be highly at risk of VaIN1+. Laser vaporization is the only independent prognostic factor that might prevent the second VaIN1+ recurrence.

Park JY, et al. J Gynecol Oncol. 2022 Jul;33:e73. https://doi.org/10.3802/jgo.2022.33.e73

[Purpose] Respiratory physiotherapy is an effective approach to improving lung function in patient, including athletes with respiratory dysfunction caused by sports injury. The purpose of this study was to analyze the differences in the respirograms between taekwondo poomsae athletes and nonathletes according to the respirogram phase. [Subjects and Methods] Respiratory measurements for 13 elite taekwondo poomsae athletes were obtained. Respiratory function was measured using spirometry while the participant was seated. [Results] In respirogram phasic analysis, the inspiratory area of forced vital capacity were significantly increased in the athletes than in the nonathletes. The slopes of the forced vital capacity for athletes at slopes 1, 2, and 3 of the A area were significantly higher than those for the nonathletes. In correlation analysis, chest circumference was significantly correlated with slope 1 of the A area of the forced vital capacity. [Conclusion] Results indicate that differences in respirogram phasic changes between athletes and nonathletes may contribute to better understanding of respiratory function, which is important to sports physiotherapy research.